Senior Backend Engineer (Java/Spring Boot) - Supply Chain AI
Job Description
Key Skills Required
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What You Will Do
Software Development:
- Design, develop, test, deploy, and maintain scalable, high-performance backend services using Java and Spring Boot.
- Build clean, reusable, production-quality code and contribute to technical design and architecture decisions.
Microservices & APIs:
- Design and develop RESTful APIs and microservices with a focus on high availability, scalability, resilience, and fault tolerance.
- Implement secure service-to-service integrations, authentication, authorization, and API security best practices.
Database & Data Access:
- Work extensively with PostgreSQL and other relational databases; design efficient schemas and data-access solutions.
- Write and optimize complex SQL, including joins, subqueries, set operations, and aggregate functions, and work with JPA/Hibernate.
Cloud & Infrastructure:
- Deploy, manage, and scale cloud-native applications in Azure environments using modern CI/CD practices.
- Work with Docker and Kubernetes for containerized application deployment, orchestration, and operational readiness.
Distributed Systems & Engineering Quality:
- Apply distributed-systems concepts, multithreading, concurrency, caching, resilience, retry, and fault-tolerance patterns where appropriate.
- Develop unit and integration tests using JUnit, Mockito, Testcontainers, or similar tools; participate actively in code reviews.
Collaboration & Leadership:
- Partner with product managers, architects, QA, DevOps, and other engineers to plan and deliver high-quality features and services.
- Mentor junior and mid-level engineers, provide constructive technical guidance, and help raise engineering standards across the team.
Troubleshooting & Performance:
- Diagnose complex production issues, perform root-cause analysis, and implement durable fixes.
Continuous Improvement:
- Proactively improve application performance, scalability, observability, security, development processes, and code quality.
- Stay current with relevant technologies and evaluate practical improvements to the engineering ecosystem.
What You Will Bring
- Bachelor’s or master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 5-8+ years of professional software development experience, with strong hands-on expertise in Java, Spring Boot, and backend engineering.
- Strong experience designing REST APIs, microservices, and distributed applications using object-oriented design, SOLID principles, and common design patterns.
- Strong RDBMS and PostgreSQL experience, including 3+ years of hands-on work with complex SQL queries, subqueries, joins, set operations, aggregate functions, schema design, and query optimization.
- Hands-on experience with JPA/Hibernate, Git, Maven or Gradle, and automated testing frameworks such as JUnit and Mockito.
- Experience with Azure, Docker, Kubernetes, and CI/CD pipelines; familiarity with messaging or event-streaming platforms such as Kafka is desirable.
- Strong debugging, analytical, problem-solving, and performance-tuning skills, with a solid understanding of secure backend development.
- Excellent communication and collaboration skills, with experience working in Agile/Scrum teams.
- Ability to take ownership, manage changing priorities, and thrive in a fast-paced product engineering environment.
What Will Make You Stand Out
- Experience building high-volume, highly available SaaS or enterprise platforms.
- Experience with Apache Kafka, Redis, and PostgreSQL
- Experience with Spark will be valuable.
- Knowledge of OAuth 2.0, JWT, observability tools, and DevOps practices.
- Familiarity with performance testing, infrastructure as code, Domain-Driven Design, or front-end technologies such as Angular or React.
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View Company ProfileResilinc (operating at resilinc.ai) is an AI-powered supply chain risk and compliance platform engineered for real-time disruption management. Founded in an unspecified year and headquartered in Milpitas, California, Resilinc redefines supply chain resilience by addressing the growing complexity of global disruptions—from factory shutdowns to transportation delays. Under the hood, its Agentic AI platform integrates supplier-validated data with predictive analytics, enabling proactive risk detection and mitigation. This allows manufacturers, retailers, and logistics providers to anticipate threats, optimize response strategies, and maintain operational continuity. The company’s solutions have been instrumental in helping businesses navigate crises like shortages and forced labor risks, positioning it as a leader in the space. Backed by $26M in funding across six rounds, including investments from Vista Equity Partners, First Star Ventures, and Partech Partners, Resilinc continues to scale its mission of fortifying supply chains against unforeseen challenges.
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